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GPT-5.3 Chat vs MiniMax M3.1 Flash

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 29.0. MiniMax M3.1 Flash is 18.3x cheaper per token.

OpenAI · MiniMax · Updated for 2026

Which is better?

MiniMax M3.1 Flash leads the overall LLM Stats Score 48.7 to 29.0, ranking #29 overall.

On price, MiniMax M3.1 Flash is roughly 18.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M3.1 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5.3 Chat

  • you want predictable pricing at $1.75/M input and $14.00/M output

Choose MiniMax M3.1 Flash

  • overall performance matters — it scores 48.7 and ranks #29 on LLM Stats
  • cost matters — it's about 18.3x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
29.0
#154
48.7
#29
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.75 / M
$0.15 / M
Output price
$14.00 / M
$0.60 / M
Context window
128,000
1,000,000

Individual benchmarks

2 reported for GPT-5.3 Chat · 15 for MiniMax M3.1 Flash

No common benchmarks found

GPT-5.3 Chat and MiniMax M3.1 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M3.1 Flash costs less

For input processing, GPT-5.3 Chat ($1.75/1M tokens) is 11.7x more expensive than MiniMax M3.1 Flash ($0.15/1M tokens).

For output processing, GPT-5.3 Chat ($14.00/1M tokens) is 23.3x more expensive than MiniMax M3.1 Flash ($0.60/1M tokens).

In conclusion, GPT-5.3 Chat is more expensive than MiniMax M3.1 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
OpenAI
GPT-5.3 Chat
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
MiniMax
MiniMax M3.1 Flash
Input tokens$0.15
Output tokens$0.60
Best providerMiniMax
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

MiniMax M3.1 Flash accepts 1,000,000 input tokens compared to GPT-5.3 Chat's 128,000 tokens. MiniMax M3.1 Flash can generate longer responses up to 524,288 tokens, while GPT-5.3 Chat is limited to 16,384 tokens.

OpenAI
GPT-5.3 Chat
Input128,000 tokens
Output16,384 tokens
MiniMax
MiniMax M3.1 Flash
Input1,000,000 tokens
Output524,288 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.3 Chat and MiniMax M3.1 Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.3 Chat

Text
Images
Audio
Video

MiniMax M3.1 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.3 Chat

Proprietary

Closed source

MiniMax M3.1 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.3 Chat was released on 2026-03-04, while MiniMax M3.1 Flash was released on 2026-10-19.

MiniMax M3.1 Flash is 8 months newer than GPT-5.3 Chat.

GPT-5.3 Chat

Mar 4, 2026

7 months ago

MiniMax M3.1 Flash

Oct 19, 2026

1 days ago

7mo newer

Knowledge Cutoff

When training data ends

GPT-5.3 Chat has a documented knowledge cutoff of 2025-08-31, while MiniMax M3.1 Flash's cutoff date is not specified.

We can confirm GPT-5.3 Chat's training data extends to 2025-08-31, but cannot make a direct comparison without MiniMax M3.1 Flash's cutoff date.

GPT-5.3 Chat

Aug 2025

MiniMax M3.1 Flash

—

Provider Availability

GPT-5.3 Chat is available from OpenAI. MiniMax M3.1 Flash is available from MiniMax.

GPT-5.3 Chat

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

MiniMax M3.1 Flash

minimax logo
MiniMax
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.3 Chat and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.

GPT-5.3 Chat
✓ Preferred
MiniMax M3.1 Flash
Open in Playground

FAQ

Common questions about GPT-5.3 Chat vs MiniMax M3.1 Flash.

Which is better, GPT-5.3 Chat or MiniMax M3.1 Flash?

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 29.0. GPT-5.3 Chat is made by OpenAI and MiniMax M3.1 Flash is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.3 Chat compare to MiniMax M3.1 Flash in benchmarks?

GPT-5.3 Chat scores HealthBench: 54.1%, HealthBench Hard: 25.9%. MiniMax M3.1 Flash scores BabyVision: 91.0%, CharXiv-R: 82.5%, CyberGym: 82.2%, BankerToolBench: 76.2%, DeepSWE 1.1: 73.7%.

Is GPT-5.3 Chat cheaper than MiniMax M3.1 Flash?

MiniMax M3.1 Flash is 11.7x cheaper for input tokens. GPT-5.3 Chat costs $1.75/M input and $14.00/M output via openai. MiniMax M3.1 Flash costs $0.15/M input and $0.60/M output via minimax.

What are the context window sizes for GPT-5.3 Chat and MiniMax M3.1 Flash?

GPT-5.3 Chat supports 128K tokens and MiniMax M3.1 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.3 Chat and MiniMax M3.1 Flash?

Key differences include LLM Stats Score (29.0 vs 48.7), context window (128K vs 1.0M), input pricing ($1.75 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Chat and MiniMax M3.1 Flash?

GPT-5.3 Chat is developed by OpenAI and MiniMax M3.1 Flash is developed by MiniMax.